Evidence map›Paper›PMID 35541871›Full record

ArticleRSC advances2018

Metabolomic estimation of the diagnosis of hepatocellular carcinoma based on ultrahigh performance liquid chromatography coupled with time-of-flight mass spectrometry.

Yuan-Feng Li, Shi Qiu, Li-Juan Gao, Ai-Hua Zhang

Abstract read
In one paragraph

Article in RSC advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yuan-Feng LiFirst Affiliated Hospital, School of Pharmacy, Heilongjiang University of Chinese Medicine Heping Road 24, Xiangfang District Harbin 150040 China yuanfengli7900@126.com aihuatcm@163.com +86-451-86053141 +86-451-86053141.ORCID https://orcid.org/0000-0001-9595-7937
Shi QiuFirst Affiliated Hospital, School of Pharmacy, Heilongjiang University of Chinese Medicine Heping Road 24, Xiangfang District Harbin 150040 China yuanfengli7900@126.com aihuatcm@163.com +86-451-86053141 +86-451-86053141.
Li-Juan GaoFirst Affiliated Hospital, School of Pharmacy, Heilongjiang University of Chinese Medicine Heping Road 24, Xiangfang District Harbin 150040 China yuanfengli7900@126.com aihuatcm@163.com +86-451-86053141 +86-451-86053141.
Ai-Hua ZhangFirst Affiliated Hospital, School of Pharmacy, Heilongjiang University of Chinese Medicine Heping Road 24, Xiangfang District Harbin 150040 China yuanfengli7900@126.com aihuatcm@163.com +86-451-86053141 +86-451-86053141.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics has been shown to be an effective tool for biomarker screening and pathway characterization and disease diagnosis. Metabolic characteristics of hepatocellular carcinoma (HCC) may enable the discovery of novel biomarkers for its diagnosis. In this work, metabolomics was used to investigate metabolic alterations of HCC patients. Plasma samples from HCC patients and age-matched healthy controls were investigated using high resolution ultrahigh performance liquid chromatography-mass spectrometry and metabolic differences were analyzed using pattern recognition methods. 23 distinguishable metabolites were identified. The altered metabolic pathways were associated with arginine and proline metabolism, glycine, serine and threonine metabolism, steroid hormone biosynthesis, starch and sucrose metabolism,

Identifiers

PMID35541871
PMCPMC9078651

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.